A computational pipeline for clustering left atrial appendage morphology via elastic shape analysis.

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Bibliographic Details
Title: A computational pipeline for clustering left atrial appendage morphology via elastic shape analysis.
Authors: Ahmad Z; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. Electronic address: zahmad6@jhu.edu., Yin M; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA., Sukurdeep Y; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA., Rotenberg N; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA., Kholmovksi E; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA., Trayanova N; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Sep; Vol. 196 (Pt C), pp. 110905. Date of Electronic Publication: 2025 Aug 18.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2025.110905